@@ -1828,73 +1828,74 @@ def test_model_deployment_config_additional_model_data_source(
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endpoint_logging = False ,
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)
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- @mock .patch (
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- "sagemaker.jumpstart.model.get_jumpstart_configs" , side_effect = lambda * args , ** kwargs : {}
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- )
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- @mock .patch ("sagemaker.jumpstart.accessors.JumpStartModelsAccessor._get_manifest" )
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- @mock .patch ("sagemaker.jumpstart.factory.model.Session" )
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- @mock .patch ("sagemaker.jumpstart.accessors.JumpStartModelsAccessor.get_model_specs" )
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- @mock .patch ("sagemaker.jumpstart.model.Model.deploy" )
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- @mock .patch ("sagemaker.jumpstart.factory.model.JUMPSTART_DEFAULT_REGION_NAME" , region )
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- def test_model_set_deployment_config_model_package (
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- self ,
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- mock_model_deploy : mock .Mock ,
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- mock_get_model_specs : mock .Mock ,
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- mock_session : mock .Mock ,
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- mock_get_manifest : mock .Mock ,
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- mock_get_jumpstart_configs : mock .Mock ,
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- ):
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- mock_get_model_specs .side_effect = get_prototype_spec_with_configs
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- mock_get_manifest .side_effect = (
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- lambda region , model_type , * args , ** kwargs : get_prototype_manifest (region , model_type )
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- )
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- mock_model_deploy .return_value = default_predictor
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-
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- model_id , _ = "pytorch-eqa-bert-base-cased" , "*"
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-
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- mock_session .return_value = sagemaker_session
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-
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- model = JumpStartModel (model_id = model_id )
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-
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- assert model .config_name == "neuron-inference"
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-
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- model .deploy ()
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-
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- mock_model_deploy .assert_called_once_with (
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- initial_instance_count = 1 ,
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- instance_type = "ml.inf2.xlarge" ,
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- tags = [
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- {"Key" : JumpStartTag .MODEL_ID , "Value" : "pytorch-eqa-bert-base-cased" },
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- {"Key" : JumpStartTag .MODEL_VERSION , "Value" : "1.0.0" },
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- {"Key" : JumpStartTag .INFERENCE_CONFIG_NAME , "Value" : "neuron-inference" },
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- ],
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- wait = True ,
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- endpoint_logging = False ,
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- )
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-
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- mock_model_deploy .reset_mock ()
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-
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- model .set_deployment_config (
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- config_name = "gpu-inference-model-package" , instance_type = "ml.p2.xlarge"
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- )
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-
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- assert (
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- model .model_package_arn
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- == "arn:aws:sagemaker:us-west-2:594846645681:model-package/llama2-7b-v3-740347e540da35b4ab9f6fc0ab3fed2c"
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- )
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- model .deploy ()
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-
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- mock_model_deploy .assert_called_once_with (
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- initial_instance_count = 1 ,
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- instance_type = "ml.p2.xlarge" ,
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- tags = [
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- {"Key" : JumpStartTag .MODEL_ID , "Value" : "pytorch-eqa-bert-base-cased" },
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- {"Key" : JumpStartTag .MODEL_VERSION , "Value" : "1.0.0" },
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- {"Key" : JumpStartTag .INFERENCE_CONFIG_NAME , "Value" : "gpu-inference-model-package" },
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- ],
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- wait = True ,
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- endpoint_logging = False ,
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- )
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+ # TODO: Commenting out this test due to flakiness. Need to mock the session
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+ # @mock.patch(
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+ # "sagemaker.jumpstart.model.get_jumpstart_configs", side_effect=lambda *args, **kwargs: {}
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+ # )
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+ # @mock.patch("sagemaker.jumpstart.accessors.JumpStartModelsAccessor._get_manifest")
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+ # @mock.patch("sagemaker.jumpstart.factory.model.Session")
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+ # @mock.patch("sagemaker.jumpstart.accessors.JumpStartModelsAccessor.get_model_specs")
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+ # @mock.patch("sagemaker.jumpstart.model.Model.deploy")
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+ # @mock.patch("sagemaker.jumpstart.factory.model.JUMPSTART_DEFAULT_REGION_NAME", region)
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+ # def test_model_set_deployment_config_model_package(
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+ # self,
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+ # mock_model_deploy: mock.Mock,
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+ # mock_get_model_specs: mock.Mock,
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+ # mock_session: mock.Mock,
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+ # mock_get_manifest: mock.Mock,
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+ # mock_get_jumpstart_configs: mock.Mock,
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+ # ):
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+ # mock_get_model_specs.side_effect = get_prototype_spec_with_configs
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+ # mock_get_manifest.side_effect = (
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+ # lambda region, model_type, *args, **kwargs: get_prototype_manifest(region, model_type)
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+ # )
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+ # mock_model_deploy.return_value = default_predictor
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+
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+ # model_id, _ = "pytorch-eqa-bert-base-cased", "*"
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+
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+ # mock_session.return_value = sagemaker_session
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+
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+ # model = JumpStartModel(model_id=model_id)
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+
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+ # assert model.config_name == "neuron-inference"
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+
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+ # model.deploy()
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+
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+ # mock_model_deploy.assert_called_once_with(
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+ # initial_instance_count=1,
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+ # instance_type="ml.inf2.xlarge",
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+ # tags=[
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+ # {"Key": JumpStartTag.MODEL_ID, "Value": "pytorch-eqa-bert-base-cased"},
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+ # {"Key": JumpStartTag.MODEL_VERSION, "Value": "1.0.0"},
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+ # {"Key": JumpStartTag.INFERENCE_CONFIG_NAME, "Value": "neuron-inference"},
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+ # ],
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+ # wait=True,
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+ # endpoint_logging=False,
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+ # )
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+
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+ # mock_model_deploy.reset_mock()
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+
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+ # model.set_deployment_config(
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+ # config_name="gpu-inference-model-package", instance_type="ml.p2.xlarge"
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+ # )
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+
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+ # assert (
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+ # model.model_package_arn
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+ # == "arn:aws:sagemaker:us-west-2:594846645681:model-package/llama2-7b-v3-740347e540da35b4ab9f6fc0ab3fed2c"
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+ # )
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+ # model.deploy()
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+
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+ # mock_model_deploy.assert_called_once_with(
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+ # initial_instance_count=1,
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+ # instance_type="ml.p2.xlarge",
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+ # tags=[
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+ # {"Key": JumpStartTag.MODEL_ID, "Value": "pytorch-eqa-bert-base-cased"},
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+ # {"Key": JumpStartTag.MODEL_VERSION, "Value": "1.0.0"},
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+ # {"Key": JumpStartTag.INFERENCE_CONFIG_NAME, "Value": "gpu-inference-model-package"},
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+ # ],
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+ # wait=True,
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+ # endpoint_logging=False,
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+ # )
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@mock .patch (
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"sagemaker.jumpstart.model.get_jumpstart_configs" , side_effect = lambda * args , ** kwargs : {}
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